Hi there,
First of all thanks for any help !!!
I am trying to detect the nose on a face Bitmap.
For the purpose I use a CascadeClassifier with haarcascade.
Here is the haarcascade: link text
Here is the code:
//Load image, convert into Bitmap, convert to grayscle
BitmapFactory.Options op = new BitmapFactory.Options();
op.inPreferredConfig = Bitmap.Config.ARGB_8888;
Bitmap bm = BitmapFactory.decodeResource(getResources(), R.drawable.face, op);
Bitmap.Config conf = Bitmap.Config.ARGB_8888;
bm=toGrayscale(bm);
// Initialize Mat and MatofRec
mat = new Mat();
rec = new MatOfRect();
//Load Bitmap into Map
ut.bitmapToMat(bm, mat);
mat.convertTo(mat2, CvType.CV_8U);
Log.e("","mat è " +Integer.toString(mat.width())+" "+ Integer.toString(mat.height())+" "+ Integer.toString(mat.type()));
//Create CascadeClassifier loading haarcascade from Android Resources
CascadeClassifier cc=
new CascadeClassifier("android.resource://com.example.test/raw/haarcascade_mcs_nose.xml");
//Call detectMultiScale
cc.detectMultiScale(mat2,rec,1.1,2,2,new Size(400,400),new Size(400,400));
outrec=rec.toArray();
But apparently something is not working.
The MatOfRect rec contains no Rect, indeed the Array outrec is empty: outrec.length=0.
What am I doing wrong?
Thanks a lot for any hint !!!
This EDIT EDIT EDIT EDIT EDIT EDIT EDIT EDIT EDIT EDIT
ISSUE SOLVED.
what I was doing wrong was loading the HaarCascade in the CascadeClassifier.
I changed it accordingly with FaceDetection sample application on OpenCV4Android SDK.
Here is the screenshot. Picture updated code:
//Load image, convert into Bitmap, convert to grayscle
BitmapFactory.Options op = new BitmapFactory.Options();
op.inPreferredConfig = Bitmap.Config.ARGB_8888;
Bitmap bm = BitmapFactory.decodeResource(getResources(), R.drawable.face, op);
Bitmap.Config conf = Bitmap.Config.ARGB_8888;
bm=toGrayscale(bm);
mat = new Mat();
Mat mat2 = new Mat();
rec = new MatOfRect();
//Load Bitmap into Map
ut.bitmapToMat(bm, mat);
//mat.convertTo(mat2, CvType.CV_8UC1);
//cvtColor(mat,mat2,CV_RGB2GRAY);
Imgproc.cvtColor(mat, mat2, Imgproc.COLOR_RGBA2GRAY);
Log.e("","mat è " +Integer.toString(mat.width())+" "+ Integer.toString(mat.height())+" "+ Integer.toString(mat.type()));
bmp = Bitmap.createBitmap(480, 600, conf);
ut.matToBitmap(mat2,bmp);
iv.setImageBitmap(bmp);
//Create CascadeClassifier loading haarcascade from Android Resources
try {
InputStream is 480x600.
= getResources().openRawResource(R.raw.haarcascade_mcs_nose);
File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);
File mCascadeFile = new File(cascadeDir, "haarcascade_mcs_nose.xml");
FileOutputStream os = new FileOutputStream(mCascadeFile);
byte[] buffer = new byte[4096];
int bytesRead;
while ((bytesRead = is.read(buffer)) != -1) {
os.write(buffer, 0, bytesRead);
}
is.close();
os.close();
mJavaDetector = new CascadeClassifier(mCascadeFile.getAbsolutePath());
if (mJavaDetector.empty()) {
Log.e(TAG, "Failed to load cascade classifier");
mJavaDetector = null;
} else
Log.i(TAG, "Loaded cascade classifier from " + mCascadeFile.getAbsolutePath());
} catch (IOException e) {
e.printStackTrace();
Log.e(TAG, "Failed to load cascade. Exception thrown: " + e);
}
//Call detectMultiScale
mJavaDetector.detectMultiScale(mat2,rec,1.1,2,2,new Size(10,10),new Size(400,400));
outrec=rec.toArray();
Log.e("","Contiene rettangoli n =" + Integer.toString(outrec.length));
Log.e(TAG, " funziona!!!");
